Unlock the Power of Machine Learning: Learn the Techniques that are Revolutionizing Industry!
Machine Learning is transforming the world as we know it. From improving healthcare to predicting market trends, this innovative technology…
The Future Is Here: The Latest News And Developments In The World Of AI!
Artificial intelligence (AI) is rapidly evolving, and it is becoming an integral part of our daily lives. From business to…
Graph Your Way to Inspiration: Integrating Co-Author Graphs with Retrieval-Augmented Generation for Large Language Model Based Scientific Idea Generation
arXiv:2602.22215v1 Announce Type: new Abstract: Large Language Models (LLMs) demonstrate potential in the field of scientific idea generation. However, the…
Hierarchical LLM-Based Multi-Agent Framework with Prompt Optimization for Multi-Robot Task Planning
arXiv:2602.21670v2 Announce Type: replace-cross Abstract: Multi-robot task planning requires decomposing natural-language instructions into executable actions for heterogeneous robot teams. Conventional…
dLLM: Simple Diffusion Language Modeling
arXiv:2602.22661v1 Announce Type: cross Abstract: Although diffusion language models (DLMs) are evolving quickly, many recent models converge on a set…
Instruction-based Image Editing with Planning, Reasoning, and Generation
arXiv:2602.22624v1 Announce Type: cross Abstract: Editing images via instruction provides a natural way to generate interactive content, but it is…
Why Pass@k Optimization Can Degrade Pass@1: Prompt Interference in LLM Post-training
arXiv:2602.21189v2 Announce Type: replace-cross Abstract: Pass@k is a widely used performance metric for verifiable large language model tasks, including mathematical…
A family of large language models for materials research with insights into model adaptability in continued pretraining
Nature Machine Intelligence, Published online: 27 February 2026; doi:10.1038/s42256-026-01199-8 Dhruv et al. introduce LLaMat, a family of LLMs for materials…
A universal spin–orbit-coupled Hamiltonian model for accelerated quantum material discovery
Nature Machine Intelligence, Published online: 27 February 2026; doi:10.1038/s42256-026-01196-x Zhong et al. introduce Uni-HamGNN, a graph neural network model that…
LLMs show bias in opioid prescribing
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